I Built an AI That Deploys Real Cloud Infrastructure Just by Chatting With It
How I built an AI-powered system that deploys real Azure infrastructure through natural conversation, running 100% locally with open-source models - no API costs!
tag: AI
F5-TTS Installation Guide for RTX 5070 on WSL2
Prerequisites Windows with WSL2 installed NVIDIA RTX 5070 GPU NVIDIA drivers installed on Windows host Issue Overview RTX 50-series GPUs use CUDA compute capability sm_120, which requires PyTorch with CUDA 12.8 support. Standard PyTorch installations only support up to sm_90, causing runtime errors. Installation Steps 1. Setup Conda Environment # Install Miniconda (if not already installed) wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh bash Miniconda3-latest-Linux-x86_64.sh source ~/.bashrc # Create new environment conda create -n f5-tts python=3....
Fish Speech Installation Guide for RTX 5070 on WSL2
Complete installation guide for Fish Speech (OpenAudio) with RTX 50-series GPU support on Windows WSL2. Prerequisites Windows with WSL2 installed NVIDIA RTX 5070 GPU NVIDIA drivers installed on Windows host Miniconda/Anaconda installed Issue Overview RTX 50-series GPUs require PyTorch with CUDA 12.8 support due to their sm_120 compute capability. Standard PyTorch installations cause CUDA kernel errors with newer GPU architectures. Installation Steps 1. Create Conda Environment # Create new environment for Fish Speech conda create -n fish-speech python=3....
Building a Production-Ready AFFiNE Docker Image with Custom AI Models
A deep dive into creating a robust Docker build system for AFFiNE with custom AI model support, automated version management, and production optimizations.
Getting AFFiNE AI Copilot Working with Custom Models and Ollama
A complete guide to setting up AFFiNE's AI Copilot feature with custom models, including OpenAI, Anthropic, and experimental Ollama integration.
Building a Personal Fitness Insights Engine with Vector Search
This project showcases a sophisticated approach to making personal fitness data searchable and meaningful using modern AI tools. The system combines Strava activity data, vector embeddings, and an intelligent search interface, creating a personalized fitness knowledge base. The system consists of three main components: Strava data collection, vector storage in Supabase, and semantic activity analysis. The workflow begins with authenticating and fetching detailed activity data from Strava using a Python-based OAuth flow....
Building My Personal AI-Powered Knowledge System - A Journey into Self-Reflection
What began as my technical experiment evolved into something far more meaningful: a system that doesn’t just store and retrieve information, but actively helps me understand my personal journey through life. Let me share how this system came to life and what it revealed about the power of AI-assisted self-reflection. The Technical Foundation The heart of my system beats through an intricate network of modern AI tools. At its core lies n8n, orchestrating a dance between various components....